Dalponte, M, Jucker, T, Burslem, DFRP et al. (5 more authors) (2016) Aboveground biomass estimation in tropical forests at single tree level with ALS data. In: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium, 10-15 Jul 2016, Beijing, China. IEEE , pp. 5334-5337. ISBN 978-1-5090-3333-1
Abstract
In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | aboveground biomass, LiDAR, ALS, tropical forest. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) |
Funding Information: | Funder Grant number EU - European Union 291585 (ERC 2011 ADG) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Jun 2020 14:53 |
Last Modified: | 09 Jun 2020 14:53 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/igarss.2016.7730390 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157977 |